Show/ImageProcessor.cpp at master · dset/Show · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
#include "ImageProcessor.h"

void callKernel(cl_command_queue& queue, cl_kernel& kernel, const std::vector<size_t>& dimensions, cl_uint) {
    clEnqueueNDRangeKernel(queue, kernel, static_cast<cl_uint>(dimensions.size()),
            nullptr, dimensions.data(), nullptr, 0, nullptr, nullptr);
}

template <typename T, typename... Args>
void callKernel(cl_command_queue& queue, cl_kernel& kernel, const std::vector<size_t>& dimensions, cl_uint narg, T& arg1, Args&... args) {
    clSetKernelArg(kernel, narg, sizeof(arg1), &arg1);
    callKernel(queue, kernel, dimensions, narg + 1, args...);
}

cv::Mat ImageProcessor::createSpectrumMat(const Image &image) {
    size_t imageSize = image.height * image.width * image.channels;
    size_t byteImageSize = imageSize * sizeof(uint8_t);
    size_t complexImageSize = imageSize * sizeof(cl_float2);
    size_t floatImageSize = imageSize * sizeof(float);

    std::vector<size_t> dims{image.height, image.width, image.channels};
    std::vector<size_t> trans_dims{image.width, image.height, image.channels};

    cl_mem inputBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_WRITE, byteImageSize, nullptr, nullptr);
    cl_mem cBuffer1 = clCreateBuffer(env.clContext, CL_MEM_READ_WRITE, complexImageSize, nullptr, nullptr);
    cl_mem cBuffer2 = clCreateBuffer(env.clContext, CL_MEM_READ_WRITE, complexImageSize, nullptr, nullptr);
    cl_mem outputBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_WRITE, floatImageSize, nullptr, nullptr);

    clEnqueueWriteBuffer(env.clQueue, inputBuffer, CL_FALSE, 0, byteImageSize, image.data.data(), 0, nullptr, nullptr);

    callKernel(env.clQueue, env.byteImageToComplexKernel, dims, 0, inputBuffer, cBuffer1);
    callKernel(env.clQueue, env.fourierColsAndTransposeKernel, dims, 0, cBuffer1, cBuffer2);
    callKernel(env.clQueue, env.fourierColsAndTransposeKernel, trans_dims, 0, cBuffer2, cBuffer1);
    callKernel(env.clQueue, env.complexImageToLogMagnitudeKernel, dims, 0, cBuffer1, outputBuffer);

    cv::Mat res(image.height, image.width, CV_32FC(image.channels));
    clEnqueueReadBuffer(env.clQueue, outputBuffer, CL_FALSE, 0, floatImageSize, res.data, 0, nullptr, nullptr);

    clFinish(env.clQueue);

    clReleaseMemObject(inputBuffer);
    clReleaseMemObject(cBuffer1);
    clReleaseMemObject(cBuffer2);
    clReleaseMemObject(outputBuffer);

    cv::normalize(res, res, 0.0f, 1.0f, cv::NORM_MINMAX);

    return res;
}

cv::Mat ImageProcessor::boxBlur(const Image &image, unsigned int size) {
    std::vector<float> kernel;
    kernel.reserve(size * size);
    for (int i = 0; i < size * size; i++) {
        kernel.push_back(1.0f / (size * size));
    }
    return convolve(image, kernel, size);
}

cv::Mat ImageProcessor::edges(const Image &image) {
    std::vector<float> kernel = {-1.0f, -1.0f, -1.0f, -1.0f, 8.0f, -1.0f, -1.0f, -1.0f, -1.0f};
    return convolve(image, kernel, 3);
}

cv::Mat ImageProcessor::convolve(const Image &image, const std::vector<float>& kernel, int kernelHeight) {
    size_t imageSize = image.height * image.width * image.channels;
    size_t byteImageSize = imageSize * sizeof(uint8_t);

    size_t kernelSize = kernel.size() * sizeof(float);
    cl_int kHeight = kernelHeight;
    cl_int kWidth = (int) kernel.size() / kernelHeight;

    std::vector<size_t> dims = {image.height, image.width, image.channels};

    cl_mem inputBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_ONLY, byteImageSize, nullptr, nullptr);
    cl_mem kernelBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_ONLY, kernelSize, nullptr, nullptr);
    cl_mem outputBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_WRITE, byteImageSize, nullptr, nullptr);

    clEnqueueWriteBuffer(env.clQueue, inputBuffer, CL_FALSE, 0, byteImageSize, image.data.data(), 0, nullptr, nullptr);
    clEnqueueWriteBuffer(env.clQueue, kernelBuffer, CL_FALSE, 0, kernelSize, kernel.data(), 0, nullptr, nullptr);

    callKernel(env.clQueue, env.convolveKernel, dims, 0, inputBuffer, kernelBuffer, kHeight, kWidth, outputBuffer);

    cv::Mat res(image.height, image.width, CV_8UC(image.channels));
    clEnqueueReadBuffer(env.clQueue, outputBuffer, CL_FALSE, 0, byteImageSize, res.data, 0, nullptr, nullptr);

    clFinish(env.clQueue);

    clReleaseMemObject(inputBuffer);
    clReleaseMemObject(kernelBuffer);
    clReleaseMemObject(outputBuffer);

    return res;
}

cv::Mat ImageProcessor::grayscale(const Image &image) {
    size_t byteImageSize = image.height * image.width * image.channels * sizeof(uint8_t);
    size_t outImageSize = image.height * image.width * sizeof(uint8_t);

    std::vector<size_t> dims = {image.height, image.width};

    cl_mem inputBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_ONLY, byteImageSize, nullptr, nullptr);
    cl_mem outputBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_WRITE, outImageSize, nullptr, nullptr);

    clEnqueueWriteBuffer(env.clQueue, inputBuffer, CL_FALSE, 0, byteImageSize, image.data.data(), 0, nullptr, nullptr);

    callKernel(env.clQueue, env.grayscaleKernel, dims, 0, inputBuffer, image.channels, outputBuffer);

    cv::Mat res(image.height, image.width, CV_8UC1);
    clEnqueueReadBuffer(env.clQueue, outputBuffer, CL_FALSE, 0, outImageSize, res.data, 0, nullptr, nullptr);

    clFinish(env.clQueue);

    clReleaseMemObject(inputBuffer);
    clReleaseMemObject(outputBuffer);

    return res;
}

cv::Mat ImageProcessor::mirror(const Image &image, cl_kernel mirrorKernel) {
    size_t byteImageSize = image.height * image.width * image.channels * sizeof(uint8_t);

    std::vector<size_t> dims = {image.height, image.width, image.channels};

    cl_mem inputBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_ONLY, byteImageSize, nullptr, nullptr);
    cl_mem outputBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_WRITE, byteImageSize, nullptr, nullptr);

    clEnqueueWriteBuffer(env.clQueue, inputBuffer, CL_FALSE, 0, byteImageSize, image.data.data(), 0, nullptr, nullptr);

    callKernel(env.clQueue, mirrorKernel, dims, 0, inputBuffer, outputBuffer);

    cv::Mat res(image.height, image.width, CV_8UC(image.channels));
    clEnqueueReadBuffer(env.clQueue, outputBuffer, CL_FALSE, 0, byteImageSize, res.data, 0, nullptr, nullptr);

    clFinish(env.clQueue);

    clReleaseMemObject(inputBuffer);
    clReleaseMemObject(outputBuffer);

    return res;
}

cv::Mat ImageProcessor::mirrorHorizontal(const Image &image) {
    return mirror(image, env.mirrorHorizontalKernel);
}

cv::Mat ImageProcessor::mirrorVertical(const Image &image) {
    return mirror(image, env.mirrorVerticalKernel);
}

cv::Mat ImageProcessor::rotate90(const Image &image) {
    size_t byteImageSize = image.height * image.width * image.channels * sizeof(uint8_t);

    std::vector<size_t> dims = {image.height, image.width, image.channels};

    cl_mem inputBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_ONLY, byteImageSize, nullptr, nullptr);
    cl_mem outputBuffer = clCreateBuffer(env.clContext, CL_MEM_READ_WRITE, byteImageSize, nullptr, nullptr);

    clEnqueueWriteBuffer(env.clQueue, inputBuffer, CL_FALSE, 0, byteImageSize, image.data.data(), 0, nullptr, nullptr);

    callKernel(env.clQueue, env.rotate90Kernel, dims, 0, inputBuffer, outputBuffer);

    cv::Mat res(image.width, image.height, CV_8UC(image.channels));
    clEnqueueReadBuffer(env.clQueue, outputBuffer, CL_FALSE, 0, byteImageSize, res.data, 0, nullptr, nullptr);

    clFinish(env.clQueue);

    clReleaseMemObject(inputBuffer);
    clReleaseMemObject(outputBuffer);

    return res;
}